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Curriculum vitae

General Information

Full Name Ben Kaye
Location Oxford, United Kingdom
Languages English (native)

Education

  • 2023 - 2027
    DPhil Autonomous Intelligent Machines and Systems
    University of Oxford, Oxford, United Kingdom
    • Supervised by Dr. Andrea Vedaldi.
    • Research in computer vision with deep neural networks.
    • Doctoral training program (6% acceptance rate).
  • 2018 - 2022
    MEng Engineering Science (1st class honours)
    University of Oxford, Oxford, United Kingdom
    • Supervised by Dr. Harrison Steel.

Experience

  • 2024 - Present
    Engineering Consultant
    OrganOx Ltd
    • Medical device research and development.
    • Designing new control algorithms and firmware modes.
    • Implementing and testing with C.
  • 2023 - Present
    Doctoral Researcher
    University of Oxford, Oxford, United Kingdom
    • Research in computer vision under Prof. Andrea Vedaldi, Visual Geometry Group.
    • Focus on computer vision with deep neural networks.
  • 2022 - 2023
    Control & Data Systems Engineer
    OrganOx Ltd
    • Developed medical device control systems and data analysis pipelines.
    • Solved long-standing problems with device firmware.

Publications

  • 2024
    DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction
    Visual Geometry Group
    • We propose a novel layered pointmap representation and a method for direct supervision.
    • IEEE/CVF CVPR 2025 highlight

Honors and Awards

  • 2022
    • Grand poster prize. Master's thesis. Engineering Science
    • Tutorial Prize, Magdalen College
  • 2019
    • Demyship, Magdalen College

Academic Interests

  • Computer Vision
    • Deep learning for 3D reconstruction.
    • Flow-matching and generative models.